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DeepNewz, mobile.
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Chevron's Chief Information Officer (CIO), Bill Braun, discussed the company's cautious approach to adopting advanced AI technologies, particularly large language models (LLMs), in an interview for the AI Agenda. Despite being a longtime AI customer and developer, Chevron remains unconvinced about the transformative potential of LLMs for its business. The oil giant primarily utilizes generative AI for simpler tasks and has not rushed to acquire Nvidia's latest GPUs. Chevron employs Microsoft Copilot and has developed its own chatbot using Azure OpenAI Service but questions the cost-effectiveness of these tools.
Adopting a skills-based approach is key to managing talent — rolling it out organization-wide is another challenge altogether. See how @Chevron transformed how it manages talent to proactively meet emerging skills demands. https://t.co/QiEmwsZlcb #AI #talentintelligence
This interview is a reality check on how useful LLMs may be for large legacy businesses. Chevron, a longtime AI customer & developer, uses Microsoft Copilot and developed its own chatbot with Azure OpenAI Service but isn't sure they're worth the costs. https://t.co/a8gV3O1Kip… https://t.co/6ZTlzf9xdy
I recently got coffee in SF with the CIO of Chevron. Walked away with a better understanding of how the Fortune 500 are thinking about AI. Chevron, for instance, mostly uses genAI for low hanging fruit + it isn't scrambling to get Nvidia's latest GPUs. https://t.co/oBIgLWuADg
